How much do different ways of calculating percentiles influence the derived performance indicators? A case study

Scientometrics

Volumn 97, Issue 3, 2013, Pages 821-829

  Schreiber, Michael ^a  

^a CHEMNITZ UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Citation analysis; Highly cited publications indicator; Percentile rank classes; Percentiles; Performance evaluation

Indexed keywords

EID: 84888003367     PISSN: 01389130     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11192-013-0984-x     Document Type: Article

References (8)

1. Bornmann, L., Leydesdorff, L., & Mutz, R. (2012). The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits of this method for the normalization of citations. Journal of the American Society for Information Science and Technology (in press).
2. Leydesdorff, L. (2012). Accounting for the uncertainty in the evaluation of percentile ranks. Journal of the American Society for Information Science and Technology, 63(11), 2349-2350.
3. Leydesdorff, L., & Bornmann, L. (2011). Integrated impact indicators compared with impact factors: an alternative research design with policy implications. Journal of the American Society for Information Science and Technology, 62(11), 2133-2146.
4. Leydesdorff, L., Bornmann, L., Mutz, R., & Opthof, T. (2011). Turning the tables on citation analysis one more time: principles for comparing sets of documents. Journal of the American Society for Information Science and Technology, 62(7), 1370-1381.
5. Rousseau, R. (2012). Basic properties of both percentile rank scores and the I3 indicator. Journal of the American Society for Information Science and Technology, 63(2), 416-420.
6. Schreiber, M. (2012a). Inconsistencies of recently proposed citation impact indicators and how to avoid them. Journal of the American Society for Information Science and Technology, 63(10), 2062-2073. arXiv: 1202. 3861v1.
7. Schreiber, M. (2012b). Uncertainties and ambiguities in percentiles and how to avoid them. Journal of the American Society for Information Science and Technology, 64(3), 640-643. arXiv: 1205. 3588.
8. Waltman, L., & Schreiber, M. (2012). On the calculation of percentile-based bibliometric indicators. Journal of the American Society for Information Science and Technology, 64(2), 372-379.